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0132929
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Parent(s):
05c5c42
Create README.md
Browse filesmetricas del modelo
README.md
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| 1 |
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---
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| 2 |
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license: apache-2.0
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: image-classification
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---
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model-index:
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- name: modelo_prediccion_enfermedades_pepinos
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results:
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- task:
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type: image-classification
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dataset:
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name: cucumber-disease-recognition-dataset
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type: image_classification
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metrics:
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- name: Training Loss (Epoch 4)
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type: training_loss
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value: 0.682700
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- name: Validation Loss (Epoch 4)
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type: validation_loss
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value: 0.248680
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- name: Accuracy (Epoch 4)
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type: accuracy
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value: 0.976744
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- name: Training Loss (Epoch 5)
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type: training_loss
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value: 0.682700
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- name: Validation Loss (Epoch 5)
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type: validation_loss
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value: 0.210933
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- name: Accuracy (Epoch 5)
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type: accuracy
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value: 0.972868
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- name: Training Loss (Epoch 6)
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type: training_loss
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value: 0.682700
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- name: Validation Loss (Epoch 6)
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type: validation_loss
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value: 0.193087
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| 42 |
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- name: Accuracy (Epoch 6)
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type: accuracy
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value: 0.976744
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| 45 |
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- name: Training Loss (Epoch 7)
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type: training_loss
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| 47 |
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value: 0.682700
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| 48 |
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- name: Validation Loss (Epoch 7)
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type: validation_loss
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value: 0.180329
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| 51 |
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- name: Accuracy (Epoch 7)
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type: accuracy
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value: 0.976744
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| 54 |
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- name: Training Loss (Epoch 8)
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type: training_loss
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| 56 |
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value: 0.124400
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| 57 |
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- name: Validation Loss (Epoch 8)
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| 58 |
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type: validation_loss
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value: 0.173558
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| 60 |
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- name: Accuracy (Epoch 8)
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| 61 |
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type: accuracy
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| 62 |
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value: 0.976744
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| 63 |
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- name: Training Loss (Epoch 9)
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| 64 |
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type: training_loss
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| 65 |
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value: 0.124400
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| 66 |
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- name: Validation Loss (Epoch 9)
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| 67 |
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type: validation_loss
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| 68 |
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value: 0.169496
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| 69 |
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- name: Accuracy (Epoch 9)
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| 70 |
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type: accuracy
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| 71 |
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value: 0.976744
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| 72 |
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- name: Training Loss (Epoch 10)
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| 73 |
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type: training_loss
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| 74 |
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value: 0.124400
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| 75 |
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- name: Validation Loss (Epoch 10)
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type: validation_loss
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value: 0.168264
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| 78 |
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- name: Accuracy (Epoch 10)
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| 79 |
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type: accuracy
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value: 0.976744
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| 81 |
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- name: Evaluation Loss
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| 82 |
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type: eval_loss
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value: 0.168263778090477
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| 84 |
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- name: Evaluation Accuracy
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type: eval_accuracy
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value: 0.9767441860465116
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- name: Evaluation Runtime
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type: eval_runtime
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value: 4.0429
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- name: Evaluation Samples per Second
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type: eval_samples_per_second
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value: 63.816
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- name: Evaluation Steps per Second
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type: eval_steps_per_second
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value: 8.162
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| 96 |
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- name: Epoch
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type: epoch
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value: 10.0
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source:
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name: riabayonaor
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url: https://huggingface.co/riabayonaor/modelo_prediccion_enfermedades_pepinos
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